AI adversary operations for the enterprise
Frontier AI models, agentic identities, and AI-enabled attacks are fundamentally altering enterprise security. As timelines shrink, resilience depends on understanding your AI attack surface and AI red teaming it the way an adversary would.. The SpecterOps Adversary Operations platform is built to help enterprise organizations lean into AI adoption while staying ahead of the risks.
Advancing tradecraft with frontier AI models
AI red team engagements
Expose hidden safety and security threats across the entire lifecycle of artificial intelligence (AI) systems with our AI Red Team assessments. Our experts evaluate AI systems during the design, development, deployment, and operations stages, focusing on model evaluations, supporting identity and infrastructure assessments, and production application testing through these stages. Our adversarial approach ensures that security principles are effectively applied to emerging technologies like machine learning, large language models, generative AI, and agentic workflows.
Listen to Russel Van Tuyl on Soap Box: Red teaming AI systems with SpecterOps.
AI red team enablement
AI can compress what once took weeks of specialized tool development into a matter of hours. SpecterOps researchers demonstrated it, and directly implicates how organizations test their defenses and prepare their teams. Our AI red team enablement gives you the infrastructure, expertise, and secure access needed to conduct modern offensive testing, while building the internal understanding your security and detection teams will need to recognize and respond to AI-assisted threats.
Cyber ranges built for enterprise AI
As AI models grow more sophisticated, governments and enterprises need rigorous environments to test model capabilities for both blue teams and red teams.SpecterOps delivers enterprise-scale cyber ranges for AI that provide standardized evaluation environments with known completion paths combined with the realism necessary to validate AI model capabilities under production-like conditions. Designed by leading attack path exploitation experts, our ranges deliver the complexity and scale necessary for rigorous assessment.
AI identity attack path management
110 million identities. Five billion trust relationships. 650 billion attack paths. Attack paths are exponential to identities, and agentic AI is exploding the identity landscape. It’s not enough to answer “who has intended access.” Defenders need to know what happens when that access is abused.
BloodHound Enterprise continuously maps how effective privilege forms across hybrid human-machine environments, identifies choke points that enable escalation, and removes the most critical paths before they can be abused.
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